2026

• Hofmann B., Bründl P., Nguyen HG., Franke J.:
  Towards transparent and data-driven fault detection in manufacturing: A case study on univariate, discrete time series
  (2026)
  DOI: 10.48550/arXiv.2507.00102
  BibTeX: Download

2025

• Hofmann B., Regenhardt K., Bründl P., Nguyen HG., Belagiannis V., Franke J., Risch F.:
  Machine learning-based prediction of quality characteristics in joining processes to minimize destructive testing: A case study on crimp connections
  In: Procedia CIRP 134 (2025), S. 163-168
  ISSN: 2212-8271
  DOI: 10.1016/j.procir.2025.03.030
  BibTeX: Download

2024

• Hofmann B., Scheck A., Nguyen HG., Meiners M., Franke J.:
  Enhancing Crimp Curve Monitoring in Wiring Harness Production: A Machine Learning Approach with Emphasis on Diverse Data
  11th International Conference on Industrial Engineering and Applications (Hiroshima, 17. April 2024 - 19. April 2024)
  In: Proceedings of the 11th International Conference on Industrial Engineering and Applications, Singapur: 2024
  DOI: 10.1007/978-981-97-6492-1_1
  BibTeX: Download
• Scheck A., Hofmann B., Nguyen HG., Franke J.:
  A multi-perspective deep learning approach for optical inspection of crimp connections
  10th International Conference on Applied System Innovation, ICASI 2024 (Kyoto, JPN, 17. April 2024 - 21. April 2024)
  In: Shoou-Jinn Chang, Sheng-Joue Young, Artde Donald Kin-Tak Lam, Liang-Wen Ji, Stephen D. Prior (Hrsg.): Proceedings of the 2024 10th International Conference on Applied System Innovation, ICASI 2024 2024
  DOI: 10.1109/ICASI60819.2024.10547861
  BibTeX: Download

2023

• Nguyen HG., Scheck A., Hofmann B., Meiners M., Neubauer S., Schäfer A., Franke J.:
  Ganzheitliche und auf maschinellen Lernverfahren basierende Qualitätsüberwachung
  In: Zeitschrift für wirtschaftlichen Fabrikbetrieb 118 (2023), S. 198-203
  ISSN: 0932-0482
  DOI: 10.1515/zwf-2023-1045
  BibTeX: Download